Nithin Nagaraj

1.1k total citations
50 papers, 674 citations indexed

About

Nithin Nagaraj is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Nithin Nagaraj has authored 50 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Cognitive Neuroscience and 17 papers in Artificial Intelligence. Recurrent topics in Nithin Nagaraj's work include Neural dynamics and brain function (10 papers), Neural Networks and Applications (9 papers) and Chaos control and synchronization (9 papers). Nithin Nagaraj is often cited by papers focused on Neural dynamics and brain function (10 papers), Neural Networks and Applications (9 papers) and Chaos control and synchronization (9 papers). Nithin Nagaraj collaborates with scholars based in India, United States and Czechia. Nithin Nagaraj's co-authors include William A. Pearlman, Amir Said, Ashraful Islam, Karthi Balasubramanian, P. G. Vaidya, Sutirth Dey, Sandipan Pati, A S Remya Ajai, Archana Mathur and Snehanshu Saha and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Circuits and Systems for Video Technology and Chaos Solitons & Fractals.

In The Last Decade

Nithin Nagaraj

43 papers receiving 632 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nithin Nagaraj India 12 394 143 120 110 110 50 674
Senhui Qiu China 10 401 1.0× 151 1.1× 33 0.3× 72 0.7× 158 1.4× 26 624
Daniel Tchiotsop Cameroon 15 183 0.5× 145 1.0× 67 0.6× 317 2.9× 193 1.8× 46 790
Stergios Papadimitriou Greece 13 88 0.2× 138 1.0× 49 0.4× 48 0.4× 54 0.5× 52 426
Norio Akamatsu Japan 11 286 0.7× 83 0.6× 67 0.6× 122 1.1× 89 0.8× 98 612
Benjamin Ricaud Switzerland 10 141 0.4× 314 2.2× 64 0.5× 218 2.0× 107 1.0× 25 639
Dake He United States 15 212 0.5× 225 1.6× 96 0.8× 27 0.2× 45 0.4× 115 764
S. Amari Japan 14 95 0.2× 237 1.7× 367 3.1× 55 0.5× 141 1.3× 28 719
Mehmet K. Muezzinoglu United States 15 104 0.3× 270 1.9× 19 0.2× 47 0.4× 129 1.2× 35 725
H.-U. Bauer Germany 13 188 0.5× 397 2.8× 94 0.8× 55 0.5× 222 2.0× 25 715
Zhuhong Shao China 18 780 2.0× 164 1.1× 90 0.8× 18 0.2× 95 0.9× 61 1.1k

Countries citing papers authored by Nithin Nagaraj

Since Specialization
Citations

This map shows the geographic impact of Nithin Nagaraj's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nithin Nagaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nithin Nagaraj more than expected).

Fields of papers citing papers by Nithin Nagaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nithin Nagaraj. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nithin Nagaraj. The network helps show where Nithin Nagaraj may publish in the future.

Co-authorship network of co-authors of Nithin Nagaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Nithin Nagaraj. A scholar is included among the top collaborators of Nithin Nagaraj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nithin Nagaraj. Nithin Nagaraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Henry, A.F. & Nithin Nagaraj. (2025). Neurochaos Learning for Classification using Composition of Chaotic Maps. DergiPark (Istanbul University). 7(2). 107–116. 1 indexed citations
2.
Henry, A.F. & Nithin Nagaraj. (2025). Augmented regression models using neurochaos learning. Chaos Solitons & Fractals. 201. 117213–117213.
3.
Ajai, A S Remya & Nithin Nagaraj. (2025). Random Heterogeneous Neurochaos Learning Architecture for Data Classification. DergiPark (Istanbul University). 7(1). 10–30.
4.
5.
Nagaraj, Nithin, et al.. (2023). Granger causality for compressively sensed sparse signals. Physical review. E. 107(3). 1 indexed citations
6.
Ajai, A S Remya, et al.. (2023). Analysis of logistic map based neurons in neurochaos learning architectures for data classification. Chaos Solitons & Fractals. 170. 113347–113347. 7 indexed citations
7.
Balasubramanian, Karthi, et al.. (2023). Interpretation of ETC in the Context of Biomedical Signal Analysis. 709–714.
8.
Balasubramanian, Karthi, et al.. (2022). Compression-Complexity Measures for Analysis and Classification of Coronaviruses. Entropy. 25(1). 81–81. 2 indexed citations
9.
Nagaraj, Nithin, et al.. (2021). Causal discovery using compression-complexity measures. Journal of Biomedical Informatics. 117. 103724–103724. 4 indexed citations
10.
Nagaraj, Nithin, et al.. (2021). Measuring Causality. Resonance. 26(2). 191–210. 6 indexed citations
11.
Saha, Snehanshu, et al.. (2020). Evolution of novel activation functions in neural network training for astronomy data: habitability classification of exoplanets. The European Physical Journal Special Topics. 229(16). 2629–2738. 13 indexed citations
12.
Balasubramanian, Karthi, Nithin Nagaraj, & Sandipan Pati. (2020). Chaos or Randomness? Effect of Vagus Nerve Stimulation During Sleep on Heart-Rate Variability. IETE Journal of Research. 68(5). 3809–3815. 4 indexed citations
13.
Nagaraj, Nithin, et al.. (2019). A novel perturbation based compression complexity measure for networks. Heliyon. 5(2). e01181–e01181. 10 indexed citations
14.
Nagaraj, Nithin, et al.. (2019). Data-based intervention approach for Complexity-Causality measure. PeerJ Computer Science. 5. e196–e196. 11 indexed citations
15.
Nagaraj, Nithin, et al.. (2017). Self, Culture and Consciousness: Interdisciplinary Convergences on Knowing and Being. Springer eBooks. 3 indexed citations
16.
Balasubramanian, Karthi, et al.. (2017). Vagus nerve stimulation modulates complexity of heart rate variability differently during sleep and wakefulness. Annals of Indian Academy of Neurology. 20(4). 403–403. 12 indexed citations
17.
Nagaraj, Nithin & Karthi Balasubramanian. (2017). Dynamical complexity of short and noisy time series. The European Physical Journal Special Topics. 226(10). 2191–2204. 20 indexed citations
18.
Nagaraj, Nithin, et al.. (2008). Increasing average period lengths by switching of robust chaos maps in finite precision. The European Physical Journal Special Topics. 165(1). 73–83. 48 indexed citations
19.
Pearlman, William A., Ashraful Islam, Nithin Nagaraj, & Amir Said. (2004). Efficient, Low-Complexity Image Coding With a Set-Partitioning Embedded Block Coder. IEEE Transactions on Circuits and Systems for Video Technology. 14(11). 1219–1235. 269 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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